AI Model Changelogs
Evergreen pages tracking how each AI assistant selects and describes brands, updated as models change.
How ChatGPT recommends brands
ChatGPT recommends brands from two places: patterns learned during training, and live pages when its search tool is on. Without search it answers from memory, so brands with broad, credible open-web coverage surface most. With search on, it retrieves and cites current pages. We track how this behavior shifts release to release.
How Claude recommends brands
Claude tends to be measured about naming brands, often qualifying recommendations and noting when it is unsure. It answers from training data by default and can use web search when enabled. Brands with clear, verifiable, well-documented positioning fare best, because Claude is cautious about asserting claims it cannot support.
How Gemini recommends brands
Gemini is tightly coupled to Google's search and knowledge systems, so it leans on live web results and the Knowledge Graph more than a memory-only answer. Brands that already earn strong Google visibility and clean structured data tend to carry over into Gemini's answers and Google's AI Overviews.
How Perplexity recommends brands
Perplexity is search-first: it retrieves live pages for every question, writes from them, and cites them inline. Brands surface by being cited, and you get cited by publishing pages that answer the exact query directly, from a credible, crawlable domain. No retrieval means no mention.